Dataware for data-driven transformation

MapR Customer: National Oilwell Varco

National Oilwell Varco (NOV) is a worldwide leader in the design, manufacture and sale of equipment and components used in oil and gas drilling and production operations and the provision of oilfield services to the upstream oil and gas industry.

NOV is creating a data platform for time-series data from sensors and control systems to support the deep analytics and machine learning. The company has created a very compact, lossless storage mechanism for sensor data. Each terabyte of storage has the capacity to store 750 billion to 5 trillion data points. This is equivalent to 20,000 – 150,000 sensor-years of 1 Hz data and will allow NOV to store all sensor data on a single MapR cluster.

"MapR is relatively easy to install and setup, and the POSIX-compliant NFS-enabled clustered file system makes loading data onto MapR very easy. It is the quickest way to get started with Hadoop and the most flexible in terms of using ecosystem tools.”